A comprehensive MCP server that enables AI models to perform local file operations, command execution, and task management across multiple platforms. It features advanced capabilities like row-level file editing, directory searching, and system monitoring with built-in security filters.
Enables agents to submit and manage persistent, dependency-aware task graphs with immutable artifacts, resource reservations, durable event streaming, and retryable process execution over MCP.
A Model Context Protocol server that enables running AppleScript code to interact with Mac applications and system features including Notes, Calendar, Contacts, Messages, file management, and more.
A Model Context Protocol server for conducting Linux binary analysis and guest system forensics within QEMU virtual machines. It enables automated VM lifecycle management, memory dumping, and interactive debugging workflows for analyzing processes and artifacts.
A secure server that enables AI applications to execute shell commands in specified directories, supporting multiple shell types (bash, sh, cmd, powershell) with built-in security features like directory isolation and timeout control.
Enables AI-assisted Windows digital forensics analysis including parsing Windows Event Logs (EVTX), analyzing registry hives (SAM, SYSTEM, SOFTWARE), and remotely collecting artifacts via WinRM with built-in security queries and forensic reference data.
Provides advanced system monitoring and file search capabilities for macOS, allowing users to track performance metrics and perform enhanced file searches with content analysis and tagging features.
A basic MCP server that provides arithmetic calculation tools and system information retrieval capabilities, including platform, CPU, and memory details.
An MCP server that enables AI assistants to manage, monitor, and diagnose Windows systems through 42 tools across 8 modules, including services, event viewer, task scheduler, processes, network, diagnostics, observability, and safety features.
A Model Context Protocol server that provides screenshot capabilities for AI assistants, including window, region, and long screenshots across Windows, macOS, and Linux.
Enables Windows GUI automation through the Model Context Protocol, providing tools, workflows, and generative capabilities for natural language-driven interaction with desktop applications.
Exposes the HyperDbg hypervisor-assisted, ring-0 debugger to LLM agents, enabling low-level debugging operations with safety features like read-only mode and confirmation gates.
Provides comprehensive computer control capabilities including mouse and keyboard automation, screen capture, OCR text recognition, and window management through MCP protocol.
A minimal server that provides AI assistants with access to Linux kernel tracing capabilities through bpftrace, enabling dynamic tracing and performance analysis via the Model Context Protocol.
A custom MCP server for orchestrating Windows/Linux/macOS workstations, providing filesystem, shell, SSH, and personal productivity tools with security features like allowlisting and human-in-the-loop approval for writes.
Enables LLMs to capture and analyze screenshots of your screen, windows, or regions with smart detection capabilities. Features natural language queries, automatic window targeting, and text enhancement for UI debugging and visual inspection.
Enables AI agents to launch and manage system processes with strict security controls through executable allowlists, resource monitoring, and output capture capabilities.